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CRM Development Services

Pharos Production builds custom Customer Relationship Management (CRM) systems tailored to your sales process, customer journey and industry requirements.

  • 90+ engineers
  • 28 industries
  • 13+ years in business

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Achieve them with minimized risk through our bespoke innovation capabilities

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Aligned with these frameworks. Audit reports and certifications available on request.

Reviewed and updated
Last reviewed July 6, 2026 by Dmytro Nasyrov, Founder and CTO. Content reflects Pharos Production delivery data as of the review date. Editorial policy.
Dmytro Nasyrov - Founder and CTO of Pharos Production

Reviewed by Dmytro Nasyrov

Founder and CTO

23+ years in custom software development. Led 110+ projects across FinTech, healthcare, Web3 and enterprise, ISO 27001-aligned team.

What is CRM development?

CRM development is custom engineering work inside or around a customer relationship management platform: custom fields and objects, automation flows, integrations with billing or marketing and sometimes a bespoke CRM built for a specific go-to-market motion.
Authoritative citations 12 sources
  1. DORA State of DevOps Report The Google DORA State of DevOps annual report defines the four key software delivery metrics (deployment frequency, lead time for changes, mean time to restore, change failure rate) that we instrument on every production engagement to benchmark delivery performance. dora.dev
  2. Stack Overflow Developer Survey The Stack Overflow Developer Survey documents language, framework, database and tooling adoption across tens of thousands of engineers annually, and we use the trend lines to validate stack choices against hiring pool depth for each client. survey.stackoverflow.co
  3. ThoughtWorks Technology Radar The ThoughtWorks Technology Radar tracks tools, platforms, techniques and languages across adopt, trial, assess and hold rings twice yearly, and is a cross-check we use to validate architectural recommendations against industry consensus. thoughtworks.com
  4. Google SRE Book The Google SRE book codifies service-level objectives, error budgets, incident response and postmortem culture that our production readiness gates adopt directly when handing over a platform to a client operations team. sre.google
  5. Martin Fowler bliki Martin Fowler's bliki is the most cited reference for enterprise architecture patterns including microservices, strangler fig, CQRS, event sourcing and refactoring, which shapes how we describe and implement architecture decisions in ADRs on every client engagement. martinfowler.com
  6. Gartner Custom Application Services Magic Quadrant Gartner publishes multiple Magic Quadrant reports covering custom application services, digital engineering and outsourced development that identify market leaders, completeness of vision and niche specialists across the global software services industry. gartner.com
  7. ISO 27001 Information Security Standard ISO 27001:2022 defines the internationally recognized information security management system requirements that Pharos Production operates under, shaping the control framework we inherit and extend for client software engagements. iso.org
  8. OWASP Top 10 The OWASP Top 10 ranks the highest-impact web application security risks and is the single most cited threat reference for application security programs, which every Pharos build is reviewed against before production release. owasp.org
  9. NIST Secure Software Development Framework NIST SSDF SP 800-218 defines secure development practices including threat modelling, SBOM generation, vulnerability disclosure and supply chain controls, which we treat as the baseline Software Development Lifecycle checklist on every client engagement. csrc.nist.gov
  10. CNCF Cloud Native Landscape The CNCF Cloud Native Landscape maps the full cloud-native ecosystem across orchestration, runtime, observability, security and database categories, useful reference material we consult when validating platform choices for client Kubernetes and service mesh engagements. landscape.cncf.io
  11. Accelerate by Forsgren, Humble, Kim Accelerate distills the multi-year DORA research program into the book-length case for DevOps practices correlated with high-performance software delivery, and is the single most cited academic reference for the delivery metrics we ship inside every client engagement. itrevolution.com
  12. IEEE SWEBOK The IEEE Software Engineering Body of Knowledge codifies the professional knowledge areas covering requirements, design, construction, testing, maintenance, configuration management and engineering economics that underpin every professional software services engagement. computer.org
What we do not do
  • Reselling CRM licenses or acting as a Salesforce reseller
  • Full green-field CRMs when an off-the-shelf platform would cover 80% of the need
  • Engagements without a named revenue ops owner on the client side
  • Projects where sales leadership has not agreed on the pipeline definition
  • Data migrations where the old CRM is actively used by the team and no freeze window exists

CRM development at Pharos at a glance

  • Engagements: 30+ CRM engagements since 2018 across SaaS, FinTech, healthcare-adjacent and B2B services
  • Platforms: Salesforce, HubSpot, Pipedrive, Close, Zoho; bespoke CRMs only when off-the-shelf clearly does not fit
  • Typical scope: Custom objects, automation, integrations with billing or marketing, data migration, reporting
  • Pricing: Integration projects from $28,000; major customization $60,000-$220,000; full custom CRM $300,000+
  • Duration: Typical engagements 4-16 weeks; migrations 8-14 weeks with shadow period
  • Team: Certified CRM platform engineers plus a solution architect; revenue ops advisory on call
  • Honest scope: We recommend off-the-shelf over custom CRMs whenever the motion is standard

Customizing an off-the-shelf CRM vs building custom

Factor Customize off-the-shelf Build custom CRM
Upfront cost $28K-$220K $300K-$1.5M+
5-year TCO Moderate High (you own everything)
Time to value 4-16 weeks 6-18 months
Differentiation Moderate; all shortcuts available High; anything is possible
When it fits Standard B2B motion Unique motion and long-term scale

How we ship CRM changes without breaking sales

Pharos Verified Delivery applied to CRM projects means every change ships behind a flag, has a named owner in revenue operations and a rollback plan. We do not ship CRM changes on a Friday.

Pharos Verified Delivery 4-phase methodology with typical durations and deliverables
  1. Phase 01 / 04

    Paid Discovery

    2-4 weeks
    • Technical validation
    • Architecture proposal
    • Scope refined estimate
    82% on-schedule with discovery
  2. Phase 02 / 04

    Iterative Build

    2-week sprints
    • Working demos every sprint
    • CTO review at milestones
    • ADRs documented
    Transparent progress tracking
  3. Phase 03 / 04

    Production Readiness

    • Monitoring and alerting
    • Security audit Pen test
    • Runbooks and rollback
    ISO 27001 aligned
  4. Phase 04 / 04

    Support

    Ongoing
    • Security patches
    • Performance tuning
    • 4h SLA response
    Continuous improvement

Pharos Verified Delivery applied to 110+ production applications since 2013

CRM work that moved revenue metrics

CRM changes are only useful if the revenue team adopts them. Every engagement below reports adoption rates the client signed off on.

Salesforce to HubSpot migration (Q3 2024) Q3 2024 · B2B SaaS, US
Before

Salesforce running for 6 years with heavy customization; sales leadership decided to move to HubSpot for simplicity.

After

Migrated 280K contacts, 40K deals, 12 custom objects and all automation rules over 12 weeks with weekend cutover and 2-week read-only shadow. Zero pipeline visibility lost during the cutover.

The migration was the easy part. The hard part was rebuilding 6 years of institutional pipeline logic in a cleaner form without losing the subtle rules the team relied on.

Lead scoring rebuild (Q1 2025) Q1 2025 · FinTech, EU
Before

Rule-based lead scoring 5 years old with no recent tuning; conversion rate from lead to opportunity was 7%.

After

Rebuilt scoring with a simple logistic model on recent data and deployed via existing CRM fields. Lead-to-opportunity rate rose to 14% over the following two quarters.

We did not build a new ML platform. We used what the CRM already had and let the revenue team see the math behind every score.

Custom CPQ module (Q4 2024) Q4 2024 · Enterprise SaaS, global
Before

Quote-to-cash process spread across spreadsheets, email approvals and one-off scripts; quote-to-close time was 19 days.

After

Built a custom CPQ layer on top of the existing CRM with approvals wired through it. Quote-to-close time dropped to 4 days.

Off-the-shelf CPQ did not fit the client's pricing model. Custom was the right call because the pricing logic was a competitive advantage.

Client names anonymized under NDA. Full case studies at /cases/.

When a custom CRM is the wrong answer

Custom CRMs are almost always a mistake. We say it loudly because we have watched it go wrong multiple times:

Projects we decline
  • Your go-to-market motion is standard enough that HubSpot, Salesforce, Pipedrive or Close would cover 80%+ of the need
  • You do not have the budget to maintain a custom CRM for the next 5 years
  • The revenue team has never adopted a CRM at all (adoption problem first, tooling second)
  • The current CRM is "ugly" but functional
  • A vertical CRM exists for your industry and you have not tried it
What we recommend instead

Pick a boring off-the-shelf CRM, spend 20-30% of the saved budget on customizations and integrations and invest the rest in adoption and data quality. That wins more revenue than any custom CRM has in our experience.

Pharos Production CRM portfolio observations

Observations from 15 CRM engagements delivered 2019-2026 across B2B SaaS, FinTech, healthcare and enterprise.

  • Engagements with deterministic dedupe plus normalised keys at migration hit over 95 percent sales-team adoption at week 8; retrofit dedupe hit under 60 percent adoption in matched cohorts.

  • Platform-vs-custom discipline (custom under 25 percent of surface) delivered on time in 12 of 15 cases; over 60 percent custom triggered 3 of 3 delays.

  • Consent-native architecture from day one eliminated GDPR remediation requests across 9 engagements; retrofit consent triggered remediation in 2 of 3 cases.

  • Teams of 4 to 8 engineers plus 1 functional consultant shipped CRM extensions in 10 to 18 weeks depending on integration complexity.

CRM development outlook 2026-2027

CRM in 2026 is dominated by three platforms (Salesforce, HubSpot, Dynamics 365) covering 70 percent of commercial deployments, with the remaining market served by custom builds and vertical-specific CRMs (healthcare, FinTech, logistics). Successful CRM engagements extend platform APIs with customer-specific workflows rather than rebuild commodity sales pipeline logic.

  • Gartner 2024 Magic Quadrant confirms Salesforce, Microsoft and Oracle as dominant commercial CRM platforms; niche verticals require custom extensions or industry-specific builds[6].

  • GDPR, CCPA and sector-specific rules (HIPAA for healthcare) force data-residency and consent-management architecture into every modern CRM deployment[7].

  • DORA 2024 shows CRMs with weekly deploy frequency deliver 3x more user-requested features per quarter than those on monthly or longer cycles[1].

  • Martin Fowler's event-sourcing plus CQRS patterns underpin the data architecture of most modern custom-extended CRMs[5].

How to evaluate a CRM build before sales-team go-live

Before rolling out a new or extended CRM to sales, run this 8-point gate. Partial readiness erodes sales-team adoption and data quality within 60 days.

  1. Platform-vs-custom clarity

    Custom scope limited to differentiating workflows; pipeline, contacts and activity tracking use platform core.

  2. Data migration validated

    Contact, account and opportunity migration validated with reconciliation reports at 0.01 percent variance; no duplicate explosion.

  3. Integration contracts

    Marketing automation, billing, ERP and support-ticket integrations covered by contract tests[3].

  4. Consent and privacy

    GDPR consent captured per contact; CCPA opt-out flow tested; data residency matches jurisdiction[7].

  5. Audit trail

    Full event log for every contact, deal and pipeline change; retention policy aligned with regulator.

  6. Performance at scale

    List views load under 2 seconds on 100k-record datasets; reports render under 5 seconds P95.

  7. User training plan

    Role-based training delivered; sales reps certified before cutover; power users identified per team.

  8. Sales-team feedback loop

    Week-1 and week-4 feedback sessions scheduled; adoption metrics tracked (login rate, record updates).

Lesson from production: the duplicate explosion

A B2B SaaS customer migrated from HubSpot to a custom-extended Salesforce build in 2023. Post-migration, Salesforce reported 340,000 contact records versus 180,000 pre-migration. Root cause: the migration script treated any email-case-difference ([email protected] vs [email protected]) as a distinct contact; on top of that, cross-platform activity merging doubled history for 40 percent of records. Sales team lost trust in the system within 3 weeks. We paused all CRM activity, built a deterministic dedupe pass using normalised email plus domain matching, merged 160,000 duplicates with documented audit trail and re-linked all opportunities. Sales-team trust recovery took 8 weeks. The lesson: CRM data migration is 80 percent data-normalisation engineering, 20 percent platform integration; invest accordingly.

Honest note
CRM success is measured by revenue team adoption, not by the number of custom features. We will sometimes recommend less CRM work, not more, because that is the honest answer.

Published record

Published Pharos research

Technical articles, comparison guides and methodology deep-dives we write from our own delivery experience.

Platforms we work with

Trusted by Coinbase, Consensys, Core Scientific, MicroStrategy, Gate.io and 10+ more Web3 and enterprise platforms

16+ partners

Our 16 technology partners include:

  • Consensys
  • Gate Io
  • Coinbase
  • Ludo
  • Core Scientific
  • Debut Infotech
  • Axoni
  • Alchemy
  • Starkware
  • Mara Holdings
  • MicroStrategy
  • Nubank
  • Okx
  • Uniswap
  • Riot
  • Leeway Hertz
  • Consensys
  • Gate Io
  • Coinbase
  • Core Scientific
  • Debut Infotech
  • Axoni
  • Alchemy
  • Starkware
  • Mara Holdings
  • MicroStrategy
  • Nubank
  • Okx
  • Uniswap
  • Riot
  • Leeway Hertz

About the founder and CTO

Dmytro Nasyrov

Dmytro Nasyrov

Founder and CTO Pharos Production

Ask the founder a question

I design and build reliable software solutions - from lightweight apps to high-load distributed systems and blockchain platforms.

PhD in Artificial Intelligence, MSc in Computer Science (with honors), MSc in Electronics & Precision Mechanics.

  • 13 years in architecture of great software solutions tailored to customer needs for startups and enterprises

  • 23 years of practical enterprise customized software production experience

  • Lecturer at the National Kyiv Polytechnic University

  • Doctor of Philosophy in Artificial Intelligence

  • Master's degree in Computer Science, completed with excellence

  • Master's degree in Electronics and precision mechanics engineering

Choose your cooperation model

Pharos Production offers three project models, MVP, Full-fledged Production and Full-cycle Development, priced from $10,000 to $80,000. An MVP prototype takes about 3 months.

Suitable for the project test
MVP

Core software architecture, initial UI/UX, working prototype in 3 months

$10,000 - $24,000
Popular choice
Suitable in 9 out of 10 cases
Full-fledged Production

Software architecture, UI/UX, customized software development, manual and automated testing, cloud deployment

$25,000 - $50,000
Turnkey development
Full-cycle Development

Comprehensive software architecture and documentation, UI/UX design layouts, UI kit, clickable prototypes, cloud deployment, continuous integration, as well as automated monitoring and notifications.

$50,000 - $80,000

Prices vary based on project scope, complexity, timeline and requirements. Hourly rates range from $35 to $75 depending on role and seniority. Contact us for a personalized estimate.

Interaction models for staff augmentation, dedicated teams and outsourcing

Request staff augmentation

Need extra hands on your software project? Our developers can jump in at any stage - from architecture to auditing - and integrate seamlessly with your team to fill any technical gaps.

Outsource your project

From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.

187+ technologies

Technologies, tools and frameworks we use

Our engineers work with 187+ technologies across blockchain, backend, frontend, mobile and DevOps - chosen for production reliability and performance.

Our engineers work with 187+ technologies across 10 categories: Frameworks, AI, Blockchains, DevOps, Clouds, Databases, Brokers, Tests, Programming, UI/UX.

  • Frameworks: Spring Boot, Erlang OTP, NodeJS, Phoenix, NestJS, Django, FastAPI, Express.js, React, Next.JS, Svelte, Angular, Vue.js, Remix, Astro, Nuxt.js, iOS, Android, Flutter, React Native, Capacitors, Ionic, Swift, Kotlin, Java, Dart
  • AI: OpenAI GPT, Anthropic Claude, Google Gemini, Meta Llama, Mistral AI, Cohere, Ollama, xAI Grok, LangChain, LangGraph, CrewAI, AutoGen, Hugging Face, PyTorch, TensorFlow, scikit-learn, LlamaIndex, Keras, XGBoost, LightGBM, OpenCV, spaCy, ONNX Runtime, Pinecone, Weaviate, Qdrant, Chroma, pgvector, Milvus, FAISS, MLflow, Weights & Biases, DVC, Kubeflow, AWS SageMaker, Azure ML, Google Vertex AI, NVIDIA Triton, Airflow, Ray Serve, vLLM, OpenAI Agents SDK, Claude MCP, Semantic Kernel, Haystack
  • Blockchains: Ethereum, TON, Corda, Tron, Hedera, Stellar, Consensys GoQuorum, Solana, Arbitrum, Binance Smart Chain (BSC), Sei, Celo, Hyperledger, MultiversX, IOTA, Polkadot, Aptos, Neo, Flow, Algorand, Avalanche, EOS, Optimism, Polygon, Cosmos, Sui, Tezos, Ontology, Fantom, NEAR Protocol, VeChain, Base, IPFS, Amazon Managed Blockchain, Amazon QLDB, IBM Blockchain, Oracle Blockchain
  • DevOps: Kubernetes, Terraform, Docker, Istio, Prometheus, Grafana, Jenkins, ArgoCD, Ansible, GitHub Actions, GitLab CI, Pulumi, Datadog, New Relic, Vault
  • Clouds: Amazon Web Services, Azure, Google Cloud, Cloudflare, Vercel, DigitalOcean
  • Databases: PostgreSQL, MySQL MariaDB, Redis, Cassandra, Neo4J, MongoDB, Elasticsearch, Solr, Ignite, ClickHouse, TimescaleDB, DynamoDB, Supabase, CockroachDB, ScyllaDB
  • Brokers: Kafka, RabbitMQ, Flink, Apache Pulsar, Amazon SQS, Amazon SNS, NATS
  • Tests: Postman, Appium, Cucumber, Selenium, JMeter, Cypress
  • Programming: Solidity, FunC, Rust, GoLang, Elixir, Erlang, C++, Java, JavaScript, TypeScript, Scala, Python, C#, .NET, PHP, Ruby, Dart, SQL
  • UI/UX: Figma, Zeplin, InVision, Sketch, Miro, Marvel, Balsamiq, Photoshop, Illustrator, XD, After Effects, Corel Draw

Frameworks

Backend Frameworks 8

Spring Boot
Spring Boot
Erlang OTP
Erlang OTP
NodeJS
NodeJS
Phoenix
Phoenix
NestJS
NestJS
Django
FastAPI
Express.js

Front End Frameworks 8

React
React
Next.JS
Next.JS
Svelte
Svelte
Angular
Angular
Vue.js
Remix
Astro
Nuxt.js
Trusted & Certified

Partnerships and awards

Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence

  • Partner1
  • Partner2
  • Partner3
  • Partner4
  • Partner5
13+ industry awards

An approach to the development cycle

The Pharos Delivery Framework divides every project into 2-week sprints. After each sprint we hold a retrospective, deliver a progress report and plan the next sprint. This methodology is why agile projects are 3x more likely to succeed than waterfall (Standish Group CHAOS Report, 2024).
  1. Team Assembly

    Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.

  2. MVP

    We'll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.

  3. Production

    We'll create a complete software solution that is custom-made to meet your exact specifications.

  4. Ongoing

    Continuous Support

    Our company will be right there with you, keeping your software solution running smoothly, fixing issues and rolling out updates.

CRM engineering insights

Skip glossary

CRM Development Glossary 6

Lead Scoring
An automated process that assigns a numeric priority rank to each sales lead based on behavioral signals (email opens, page visits), firmographic data and historical conversion patterns, often powered by machine learning models.
Pipeline Management
A CRM module that tracks opportunities through defined sales stages - from initial contact through negotiation to close - giving sales managers visibility into deal velocity, conversion rates and revenue forecasts.
Contact Enrichment
The automatic augmentation of a CRM contact record with additional data - such as company size, LinkedIn profile, technology stack or phone number - sourced from third-party APIs such as Clearbit or Apollo.
Automated Follow-Up
A CRM workflow that triggers personalized email, SMS or task sequences at defined time intervals or behavioral triggers without manual sales rep intervention, reducing response time and pipeline dropout.
ERP Integration
A bidirectional data connection between a CRM system and an Enterprise Resource Planning platform - such as SAP, Oracle NetSuite or Microsoft Dynamics - enabling unified customer, order and invoice data across departments.
Sales Dashboard
A real-time visualization layer in a CRM that surfaces key metrics - won/lost ratio, average deal size, activity rates and quota attainment - to sales managers and executives for performance monitoring.

Frequently asked questions about CRM Development Services

Last updated:

  • Copy link Copies a direct link to this answer to your clipboard.

    Custom CRM development is justified when off-the-shelf platforms impose licensing costs above $50,000 per year at scale, when proprietary workflow logic cannot be replicated in standard tools, when deep ERP or legacy system integration requires vendor-specific API work or when data residency rules prohibit storing customer data on US-based SaaS platforms. Custom systems also eliminate per-seat cost growth as headcount scales.

  • Copy link Copies a direct link to this answer to your clipboard.

    A standard custom CRM covers contact and company records management, lead capture and source tracking, pipeline stages with deal probability scoring, automated follow-up sequences, activity logging (calls, emails, meetings), role-based dashboards and reporting and API integrations with marketing automation (Mailchimp, Klaviyo), support (Zendesk, Freshdesk) and billing (Stripe, QuickBooks) systems.

  • Copy link Copies a direct link to this answer to your clipboard.

    A focused CRM with core pipeline, contact management and basic integrations typically costs $60,000-$120,000. Adding AI lead scoring, predictive analytics, advanced automation workflows and multi-system ERP integration raises the investment to $150,000-$300,000. Ongoing maintenance, hosting and feature iterations are scoped as a monthly retainer or sprint-based engagement after launch.

  • Copy link Copies a direct link to this answer to your clipboard.

    An MVP CRM with core pipeline, contact management and one primary integration deploys in 10-16 weeks. Full-featured systems with AI lead scoring, complex ERP bidirectional sync and custom reporting modules take 5-8 months. Data migration from an existing CRM (Salesforce, Pipedrive) adds 3-6 weeks depending on record volume and data quality.

  • Copy link Copies a direct link to this answer to your clipboard.

    AI lead scoring uses a gradient boosting or logistic regression model trained on historical won/lost opportunity data, incorporating features such as company size, industry vertical, contact engagement score, time-in-stage and source channel. The model outputs a 0-100 probability score updated in real time as new activity is logged, surfacing the highest-value leads for sales rep prioritization.

  • Copy link Copies a direct link to this answer to your clipboard.

    Common integrations include marketing automation (Mailchimp, ActiveCampaign, HubSpot Marketing), email and calendar (Gmail, Outlook via Microsoft Graph), support ticketing (Zendesk, Freshdesk), billing and invoicing (Stripe, QuickBooks, Xero), ERP (SAP, Oracle NetSuite, Microsoft Dynamics) and telephony (Twilio, RingCentral). Each integration uses REST or webhook patterns with OAuth 2.0 authentication.

The Pharos takeaway on CRM delivery

CRM engineering in 2026 is measurable: platform-vs-custom discipline, data-quality gates, consent-native architecture and sales-team adoption metrics. Pharos Production builds CRM extensions that sales teams adopt because the data is clean, the workflows match real selling and the training pre-dates the cutover.

Dmytro Nasyrov, Founder and CTO at Pharos Production
Dmytro Nasyrov Founder & CTO Let's work together!

Your business results matter

Achieve them with minimized risk through our bespoke innovation capabilities

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What happens next?

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  5. Sign the Contract

    As soon as the contract is signed, our dedicated team will jump into action on your project!

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Our offices

Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.

We also work with clients through dedicated local teams in Las Vegas, New York and San Francisco.

Las Vegas, United States

Headquarters PT
5348 Vegas Dr, Las Vegas, Nevada 89108, United States

Kyiv, Ukraine

Engineering office EET (UTC+2)
44-B Eugene Konovalets Str. Suite 201, Kyiv 01133, Ukraine